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Programming for Python Data Science: Principles to Practice

Master Python for data science. Learn NumPy, Pandas, and Matplotlib for analysis, algorithms, and visualization.

Master Python for data science. Learn NumPy, Pandas, and Matplotlib for analysis, algorithms, and visualization.

This specialization accelerates your journey as a data scientist with Python, designed for beginners to develop essential skills in data management, analysis, and insight communication. The program covers foundational computer science concepts, algorithm development, and hands-on experience with industry-standard Python libraries. Through five courses, students master VS Code, NumPy, Pandas, and Matplotlib while working on real-world data analysis projects. The curriculum emphasizes practical applications, from basic debugging to advanced predictive modeling and visualization.

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Programming for Python Data Science: Principles to Practice

This course includes

4 Months

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,827

What you'll learn

  • Create algorithms and programs using the Seven Step framework, manipulate and analyze data using NumPy arrays and matrices, master data cleaning and optimization with Pandas, develop complex Python programs for data science applications, create professional data visualizations with Matplotlib, build and evaluate classification models for predictions, apply best practices in program decomposition and debugging.

Skills you'll gain

Algorithm Design
Data Visualization
Python Programming
NumPy
Pandas
Matplotlib
Data Analysis
Predictive Modeling
Debugging
Program Decomposition

This course includes:

166 Hours PreRecorded video

Programming exercises

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 courses in this program

EI Leadership: Thriving in the AI Era

Course 1 · 3 Hours to complete · 4 modules

In the Trenches: Security Operations Center

Course 2 · 11 Hours to complete · 8 modules

3D Data Visualization for Science Communication

Course 3 · 32 Hours to complete · 6 modules

Fee Structure

Payment options

Financial Aid

Programming for Python Data Science: Principles to Practice

This course includes

4 Months

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,827

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.